Data Integrity vs. Data Quality: How Are They Different?

Data can be your organization’s most valuable asset, but only if it’s data you can trust. When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analysis, and reckless recommendations to become data integrity vs data quality.   Two terms can be used to describe the condition […]

Streaming Data Pipelines: What Are They and How to Build One

The concept of streaming data was born of necessity. Today’s hypercompetitive global business environment calls for agility and intelligence. More than ever, advanced analytics, ML, and AI are providing the foundation for innovation, efficiency, and profitability. But insights derived from day-old data don’t cut it. Many scenarios call for up-to-the-minute information. Enterprise technology is having […]

Let’s Talk Real Estate Data

The real estate industry has experienced massive innovation and transformation over the past two decades, most of which has been driven by the internet and associated communications technologies. Today, data is the great driver of innovation, but to be successful, you need real estate data you can fully trust. Historically, many companies have relied on […]

6 Threats to the High Availability of Your Data (and How to Solve Them)

Achieving high availability for data is tough. The best-laid data infrastructures often go awry for a variety of reasons, and they bring data availability down with them. What are those things that can go awry and prevent data high availability? And what can you do to stop or mitigate them? Threats to high availability Let’s […]

The Hidden Costs of Big Data

How much does big data cost? There are two ways to answer that question: The simplistic way, which looks only at surface-level big data costs, and the comprehensive way, which factors in the “hidden costs of big data” as well. What are the hidden costs of big data, you ask? Keep reading for an overview […]

How to Clean Up Your Data for Anti-Money Laundering (AML) Compliance

How big a problem is money laundering? Experts estimate that every year, criminal enterprises launder between $500 billion and $1 trillion through legitimate businesses. Any economic impact that large sends repercussions throughout the global economy, which is why anti-money laundering compliance is essential.   Firms throughout financial services are required to store data at scale and carefully […]

How Good Data Enrichment Practices Impact Your Data Integrity

Data integrity is a foundational requirement for virtually any business to be successful in today’s world. Data integrity is about trust and confidence. Many people often conflate data quality with data integrity, however the latter is more comprehensive. Both are critically important, and although they are clearly related, the two phrases actually have very distinct […]

Reduce Business Risk and Drive Confident Decisions with Property Data Enrichment

With Google Street View, we can zoom in for a look at virtually any property in the U.S. and in many countries across the globe. Actually seeing the image of a property, its structures, and its immediate surroundings can certainly be useful. But from a business perspective, this approach to gathering information about a property […]

Developing a Data Quality Framework: How to Herd the Cats

Developing a data quality framework is reminiscent of herding cats. You have to bring together disparate groups to establish a set of standards to maintain data quality, when these groups don’t want to be brought together and don’t agree on the standards.  This task isn’t impossible, though. Read on to learn how to create a […]

Data Socialization 101: What Is Data Socialization, and Why Should You Care?

Data socialization is one of the newest buzzwords in the world of data analytics and management. What does data socialization mean, and what can it do for you? Find out in this post. What is data socialization? In a nutshell, data socialization refers to the sharing of data and data analytics tools with all members […]

Data Governance or Data Quality: Which to do First?

Many companies are just starting their data governance journey. There has been a paradigm shift towards a data driven environment. As you start to think how data impacts your organization, it becomes clear that the focus is leaning more towards business processes and away from specific applications. Quite often I speak with prospects who are […]

Addressing 5 Real-World Issues Impacting Data Quality

Data is the most important resource your company owns. When your data quality is good, it’s a tremendous asset. But when your data quality is bad, it’s a serious liability. Anytime you’re making crucial business decisions using data-driven insights, you need to trust the underlying facts and figures. If they’re incorrect or incomplete, they could […]